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» Active learning for network intrusion detection
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ICDE
2006
IEEE
138views Database» more  ICDE 2006»
14 years 4 months ago
Toward a Query Language for Network Attack Data
The growing sophistication and diversity of malicious activity in the Internet presents a serious challenge for network security analysts. In this paper, we describe our efforts t...
Bee-Chung Chen, Vinod Yegneswaran, Paul Barford, R...
HUC
2009
Springer
14 years 3 months ago
Recognizing daily activities with RFID-based sensors
We explore a dense sensing approach that uses RFID sensor network technology to recognize human activities. In our setting, everyday objects are instrumented with UHF RFID tags ca...
Michael Buettner, Richa Prasad, Matthai Philipose,...
GECCO
2007
Springer
149views Optimization» more  GECCO 2007»
14 years 4 months ago
Dendritic cells for SYN scan detection
Artificial immune systems have previously been applied to the problem of intrusion detection. The aim of this research is to develop an intrusion detection system based on the fu...
Julie Greensmith, Uwe Aickelin
RAID
1999
Springer
14 years 2 months ago
IDS Standards: Lessons Learned to Date
: I will discuss two efforts to get Intrusion Detection Systems to work together - the Common Intrusion Detection Framework (CIDF), and the IETF's working group to develop an ...
Stuart Staniford-Chen
ICEIS
2008
IEEE
14 years 4 months ago
Next-Generation Misuse and Anomaly Prevention System
Abstract. Network Intrusion Detection Systems (NIDS) aim at preventing network attacks and unauthorised remote use of computers. More accurately, depending on the kind of attack it...
Pablo Garcia Bringas, Yoseba K. Penya